Data Engineer II – QuantumBlack, AI by McKinsey

Overview

As a Data Engineer II at McKinsey, you will design and maintain scalable data pipelines that power cutting-edge AI applications and agentic architectures. You will collaborate with cross‑functional teams and clients to translate data into high‑impact AI solutions, shaping next‑generation systems at scale. This role sits within a global data engineering community, offering mentorship and a clear path to growth through structured learning and hands‑on projects. You’ll work in London, contributing to measurable business value while advancing your data and AI expertise.

Pay / Benefits

• competitive salary
• comprehensive benefits package
• mentorship and structured learning programs
• global collaboration across 65+ countries
• exposure to diverse AI initiatives
• career development opportunities

Responsibilities

• Build and maintain scalable data pipelines and data foundations for AI systems
• Design data architectures and secure data environments for production use
• Prepare data for AI/ML workflows, embeddings, and vector search
• Collaborate with Data Scientists, ML Engineers, and clients in cross-functional Agile teams
• Contribute to R&D initiatives to scale next‑generation AI capabilities
• Support data quality, landscape assessment, and feature engineering
• Collaborate with QuantumBlack and Labs teams to develop enterprise AI solutions
• Assist in deploying production-grade data solutions across cloud platforms

Key requirements

• 2-5+ years of relevant experience in data engineering or similar
• Strong Python and SQL for production-grade code
• Experience building end-to-end data pipelines for AI/ML/BI
• Proficiency with data platforms (Databricks, Snowflake, BigQuery, PostgreSQL) and tools (Pandas, Spark, dbt)
• Hands-on MLOps/LLMOps knowledge including CI/CD for data workflows
• Cloud experience across AWS, Azure, GCP
• Strong communication in English and local language(s)
• Client-facing or senior stakeholder management experience is beneficial
• Experience with coding agents (Cursor, Claude Code, Codex) is a plus
• Familiarity with LangChain, embeddings, vector search is a plus

• Strong communication and collaboration
• Client-facing demeanor
• Resilience and adaptability
• Python
• SQL
• Spark

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